Application architecture for WPE Sample Clauses

Application architecture for WPE. As mentioned, work package WPE actually consists of four subprojects and various products. Luckily, all these products can be created using a similar architecture. Of course, each product has its specifics, which need to be supported by the application services. For the AIS solution to resolve the undercoverage of the Dutch inland waterway statistics, the application architecture is shown below. Figure 18 - WPE Application Architecture Inland Waterways As can be seen, the solution architecture can be described by using only six BREAL application services. The specific services derived from these BREAL application services are described below, including a high-level explanation of the process. For more information on the process, please read Work package E: Tracking ships, Deliverable E3: Interim technical report concerning the conditions for using the data, the methodology and the procedures. Acquisition and Recording: External structural data Receive and copy AIS data The first step in the process is to receive the AIS data. The national AIS data is provided by Rijkswaterstaat, which is part of the Dutch Ministry of Infrastructure and Water Management and responsible for the design, construction, management and maintenance of the main infrastructure facilities in the Netherlands. The data received is 22 GB per week and is currently provided via hard-disk. Of course, this will change in the near future. The file is copied from the hard-disk to the production environment of Statistics Netherlands. Data Wrangling: Data preparation, filtering and deduplication Decode and filter AIS data The next step is to decode and filter the AIS data. The data is in a specific technical format and there are special Python libraries, like libAIS, to decode the data in a more friendly machine-readable format. Raw AIS data is decoded and immediately filtered, resulting in two files: a static file (record type 5), and a dynamic file (record types 1, 2, 3 and 21). All other records are ignored. Only the variables MMSI, speed and location are selected. Data Wrangling: Data standardisation Split per ship Now, only the required data has been selected and filtered, the data is reorganised for further processing. The next steps are performed on a per ship basis, and therefore the two files with the static and dynamic are combined and split per ship. Modelling and Interpretation: Data linking and enriching and Methodology application Derive ship, derive port and derive ship journey T...
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